|
Descripción
|
|
|---|---|
| ? An exhaustive study on the MapReduce framework, and its default fault-tolerant mechanisms. As one may assume, the leading MapReduce-based systems which are open source, with particular emphasis on Hadoop MapReduce, have evolved significantly since their first appearance. This study has taken into account all of these releases, by considering the most important advances in the fault-tolerant area. ? A systematic literature review on contributions with extensive analysis and proposals of new fault-tolerant mechanisms in MapReduce-based systems. ? A discussion about the open issues and key challenges for providing efficient fault tolerance in MapReduce-based systems. | |
|
Internacional
|
Si |
|
DOI
|
10.1007/978-3-319-44881-7 |
|
Edición del Libro
|
|
|
Editorial del Libro
|
Springer International Publishing |
|
ISBN
|
978-3-319-44880-0 |
|
Serie
|
|
|
Título del Libro
|
Resource Management for Big-Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques (Computer Communications and Networks) |
|
Desde página
|
205 |
|
Hasta página
|
240 |